Proceedings ArticleDOI
A Real-Time-capable Hard-and Software Architecture for Joint Image and Knowledge Processing in Cognitive Automobiles
TLDR
The architecture presented in this papers offers a method to interchange information with different temporal resolutions liberally among modules with distinct cycle times and realtime demands, allowing effortless buffering of raw data for subsequent data fusion and verification, facilitating innovative processing structures.Abstract:
Cognitive automobiles consist of a set of algorithms that cover a wide range of processing levels: from low-level image acquisition and feature extraction up to situation assessment and decision making. The modules implementing them are naturally characterized by decreasing data rates at higher levels, because raw data is discarded after evaluation, and increasing processing intervals, as knowledge based levels require longer computation times. The architecture presented in this papers offers a method to interchange information with different temporal resolutions liberally among modules with distinct cycle times and realtime demands. It allows effortless buffering of raw data for subsequent data fusion and verification, facilitating innovative processing structures. The paper is completed by measurements demonstrating the achieved real-time capabilities on our selected hardware architecture.read more
Citations
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Proceedings ArticleDOI
Are we ready for autonomous driving? The KITTI vision benchmark suite
TL;DR: The autonomous driving platform is used to develop novel challenging benchmarks for the tasks of stereo, optical flow, visual odometry/SLAM and 3D object detection, revealing that methods ranking high on established datasets such as Middlebury perform below average when being moved outside the laboratory to the real world.
Journal ArticleDOI
Vision meets robotics: The KITTI dataset
TL;DR: A novel dataset captured from a VW station wagon for use in mobile robotics and autonomous driving research, using a variety of sensor modalities such as high-resolution color and grayscale stereo cameras and a high-precision GPS/IMU inertial navigation system.
Reachability Analysis and its Application to the Safety Assessment of Autonomous Cars
TL;DR: The safety verification of dynamical systems using reachability analysis, which measures the probability of reaching an unsafe set, and a Markov chain which approximately computes the stochastic reachable set of arbitrary dynamics is generated.
Journal ArticleDOI
Team AnnieWAY's Entry to the 2011 Grand Cooperative Driving Challenge
Andreas Geiger,Martin Lauer,Frank Moosmann,Benjamin Ranft,Holger H. Rapp,Christoph Stiller,Julius Ziegler +6 more
TL;DR: Algorithms for sensor fusion, vehicle-to-vehicle communication, and cooperative control are described for the autonomous vehicle known as AnnieWAY, which is the winning entry to the 2011 Grand Cooperative Driving Challenge.
Journal IssueDOI
Team AnnieWAY's autonomous system for the 2007 DARPA Urban Challenge
Sören Kammel,Julius Ziegler,Benjamin Pitzer,Moritz Werling,Tobias Gindele,Daniel Jagzent,Joachim Schröder,Michael Thuy,Matthias Goebl,Felix von Hundelshausen,Oliver Pink,Christian Frese,Christoph Stiller +12 more
TL;DR: This paper reports on AnnieWAY, an autonomous vehicle that is capable of driving through urban scenarios and that successfully entered the finals of the 2007 DARPA Urban Challenge competition.
References
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Proceedings ArticleDOI
Cooperative Cognitive Automobiles
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Journal ArticleDOI
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